## S3 method for class 'bce'
summary(object, confInt = 2/3, ...)
Arguments
object
a bce-object, output of the function bce1() or BCE().
confInt
confidence interval of values of composion matrix and
ratio matrix.
...
additional arguments affecting the summary produced.
Value
if object is output of the function bce1():
a list containing:
meanA
Average solution of the ratio matrix,found through MCMC.
meanX
Average solution of the composition matrix, found
through MCMC.
bestA
Ratio matrix for which the posterior probability is
maximal.
bestX
Composition matrix for which the posterior probability is
maximal.
sdA
standard deviation of the ratio matrix.
sdX
standard deviation of the composition matrix.
lastA
Last value for the ratio matrix in the MCMC run.
lastX
Last value for the composition matrix in the MCMC run.
medianA
Median of the ratio matrix.
medianX
Median of the composition matrix.
ubA
Upper boundary of the confidence interval of the elements of
the ratio matrix.
ubX
Upper boundary of the confidence interval of the elements of
the composition matrix.
lbA
Lower boundary of the confidence interval of the elements of
the ratio matrix.
lbX
Lower boundary of the confidence interval of the elements of
the composition matrix.
covar
Covariance matrix of all elements of A and X.
if object is output of the function BCE():
a list containing:
firstX
X determined through least squares regression from the
initial ratio matrix and the data matrix.
bestRat
Ratio matrix for which the posterior probability is maximal.
bestX
Composition matrix for which the posterior probability is
maximal.
bestp
Maximal posterior probability.
bestDat
Product of bestRat and bestX.
meanRat
Means of the elements of the ratio matrix.
sdRat
Standard deviation of the elements of the ratio matrix.
lbRat
Lower boundary of the confidence interval of the elements
of the ratio matrix.
ubRat
Upper boundary of the confidence interval of the elements
of the ratio matrix.
covRat
Covariance matrix of the elements of the ratio matrix.
meanX
Means of the elements of the composition matrix.
sdX
Standard deviation of the elements of the composition matrix.
lbX
Lower boundary of the confidence interval of the elements of
the composition matrix.
ubX
Upper boundary of the confidence interval of the elements
of the composition matrix.
covX
Covariance matrix of the elements of the composition matrix.
Author(s)
Karel Van den Meersche
See Also
bce1, BCE, plot.bce,
export.bce, pairs.bce
Examples
# bceOutput is an example output based on bceInput
summary(bceOutput)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(BCE)
Loading required package: FME
Loading required package: deSolve
Attaching package: 'deSolve'
The following object is masked from 'package:graphics':
matplot
Loading required package: rootSolve
Loading required package: coda
Loading required package: limSolve
Loading required package: Matrix
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BCE/summary.bce.Rd_%03d_medium.png", width=480, height=480)
> ### Name: summary.bce
> ### Title: summary BCE
> ### Aliases: summary.bce
> ### Keywords: models
>
> ### ** Examples
>
> # bceOutput is an example output based on bceInput
>
> summary(bceOutput)
>
>
>
>
>
> dev.off()
null device
1
>
providing 
.